Network Meta-Analysis With Individual Participant-Level Data of Time-to-Event Outcomes Using Cox Regression.

ABSTRACT: The accessibility of individual participant-level data (IPD) enhances the evaluation of moderation effects of patient covariates. It facilitates the provision of accurate estimation of intervention effects and confidence intervals by incorporating covariate correlations across multiple clinical trials. With a time-to-event outcome, Cox regression can be applied for network meta-analysis (NMA) using IPD. However, there lacks comprehensive reviews and comparisons of the specifications and assumptions of these Cox models and their impact on the interpretation of hazard ratios, effect moderation, and trial heterogeneity in IPD-NMA. In this paper, we examine various Cox models for IPD-NMA and compare different approaches to modeling trial, treatment, and covariate effects. We employ multiple gr

SUBMITTER: Hua K 

PROVIDER: S-EPMC11955150 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature